Skip to main content

A Study on the Performance of Reproducible Computations

  • Conference paper
  • First Online:
High Performance Computing (ISC High Performance 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11887))

Included in the following conference series:

  • 5888 Accesses


Parallel computations are intrinsically non-reproducible, due to a combined effect of non-deterministic parallel reductions and non-associative floating point operations. Different strategies have been proposed in literature to alleviate this issue or eliminate it altogether, however at present there is no study on the performance impact of associative floating point operations on large scale applications. In this work, we implement associative operations using binned doubles in MiniFE, and perform various performance tests on Cirrus and Fulhame, two state-of-the-art HPC systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


  1. Cirrus UK National Tier-2 HPC service (2019)

  2. Ahrens, P., Nguyen, H.D., Demmel, J.: Efficient reproducible floating point summation and BLAS. Technical report UCB/EECS-2015-229, EECS Department, University of California, Berkeley, December 2015

    Google Scholar 

  3. Heroux, M.A., et al.: Improving performance via mini-applications. Technical report SAND2009-5574, Sandia National Laboratories (2009)

    Google Scholar 

  4. Kahan, W.: Pracniques: further remarks on reducing truncation errors. Commun. ACM 8(1), 40 (1965)

    Article  Google Scholar 

  5. OpenMP Architecture Review Board: OpenMP application program interface version 3.1 (2001).

  6. Robey, R.W., Robey, J.M., Aulwes, R.: In search of numerical consistency in parallel programming. Parallel Comput. 37(4–5), 217–229 (2011)

    Article  Google Scholar 

  7. Vandevoorde, D., Josuttis, N.M.: C++ Templates. Addison-Wesley Longman Publishing Co., Inc., Boston (2002)

    Google Scholar 

Download references


This research is supported by Rolls-Royce plc through the EPSRC ASiMoV Prosperity Partnership Project. The authors would like to thank Rolls-Royce plc for granting permission to publish this work. The experiments were undertaken on two different systems: the Cirrus UK National Tier-2 HPC Service at EPCC, funded by the University of Edinburgh and EPSRC (EP/P020267/1); and the Fulhame system, which is supplied to EPCC as part of the Catalyst UK program, a collaboration with Hewlett Packard Enterprise, Arm and SUSE to accelerate the adoption of Arm based supercomputer applications in the UK.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Nico Bombace .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bombace, N., Weiland, M. (2019). A Study on the Performance of Reproducible Computations. In: Weiland, M., Juckeland, G., Alam, S., Jagode, H. (eds) High Performance Computing. ISC High Performance 2019. Lecture Notes in Computer Science(), vol 11887. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34355-2

  • Online ISBN: 978-3-030-34356-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics